Your supply chain breaks down where humans are doing the work systems should handle

Purchase order automation triggers PO generation from inventory data without manual intervention. The automation monitors your stock levels via direct ERP integration (SAP OData/RFC, Oracle ERP Cloud REST API, NetSuite SuiteTalk/SuiteQL, Microsoft Dynamics 365 Business Central REST API, Odoo XML-RPC) or WMS data feed and compares current on-hand quantity against each SKU's reorder point. When stock crosses the threshold, a draft PO is generated pre-populated with the configured supplier, ordered SKU, quantity calculated from the economic order quantity formula or fixed MOQ rule, agreed unit price from the approved vendor price list, and delivery address. The draft routes through an approval workflow: value-based tiered approval (orders below £5,000 require single-approver sign-off; orders above £25,000 route to the procurement director and CFO); category-based approval for strategic or single-source categories requiring additional review; or straight-through processing for pre-approved routine replenishment orders below a configurable value threshold. On approval, the PO is transmitted via EDI X12 850 or EDIFACT ORDERS for suppliers with EDI capability, via email with a structured PDF template for email-based suppliers, or via supplier portal API for digital-native suppliers. Routine replenishment orders that run on identical terms every 30 days are the first target, those POs should not require a human to generate them.

Demand forecasting automation calculates forward-looking stock requirements per SKU using historical sales data and applies statistical adjustment for seasonality, promotional uplift, and lead time variability, generating reorder recommendations before safety stock is breached rather than after. Forecasting methodology: simple moving average (7-day, 14-day, 28-day trailing) for stable-velocity SKUs; exponential smoothing (Holt-Winters triple exponential smoothing) for SKUs with trend and seasonal patterns; manual demand plan override for SKUs with upcoming promotions or product launches where historical data is not a reliable predictor. Reorder point calculation per SKU: average daily demand multiplied by supplier lead time plus safety stock (calculated as Z-score for the desired service level, typically 95% for A-category items and 90% for B-category, multiplied by the standard deviation of demand during lead time). When projected stock falls below the reorder point, the system generates a reorder recommendation with the suggested quantity, projected stock-out date under current velocity, and the supplier lead time. Seasonal profile calibration: the system allows you to define demand multipliers by week of year for each product category so the forecast model accounts for Christmas demand peaks, summer slowdowns, and other predictable patterns.

Self-service supplier onboarding portal that replaces the email-and-attachment workflow with a structured, trackable process. The portal is accessed via a unique onboarding link sent to the new supplier; no login to your internal systems is required. Supplier self-service steps: company registration details (name, registration number, VAT/GST number, registered address), bank account details (IBAN/SWIFT for international, sort code/account number for domestic, validated against your bank's account verification API via TrueLayer or Modulr), primary contacts, and document uploads. Required document types are configured per supplier category: ISO certifications, public liability insurance certificates, conflict minerals declarations, modern slavery policy, data processing agreements, and product compliance certificates. Document completeness check runs automatically on each upload: required documents are listed with a status indicator (uploaded/pending/expired), expiry dates extracted from certificates using OCR, and an automatic reminder sent to the supplier if required documents are missing 48 hours after the onboarding link was opened. Approval triggers automatic ERP record creation so the new supplier can receive POs immediately after approval without manual data entry. Re-onboarding automation: expiring certifications trigger advance renewal requests to the supplier 90, 60, and 30 days before expiry so compliance documentation stays current.

Real-time inventory monitoring watches every SKU continuously against configurable thresholds and fires targeted alerts with enough context to act, not a raw data export requiring a planner to identify the exceptions themselves. Monitoring dimensions per SKU: on-hand quantity vs reorder point (alert when below reorder point, with days-of-cover calculation at current velocity); days-of-cover at current velocity (alert when below configurable threshold, e.g., less than 14 days cover on an A-category item); overstock alert when on-hand quantity exceeds maximum stock level; expiry monitoring for perishable goods and dated products (alert 30, 14, and 7 days before expiry date); and slow-mover detection (SKUs with zero or near-zero sales velocity for 30+ days flagged for review). Alert routing: critical stockout risk (less than 7 days cover on an A-category SKU) alerts the supply chain manager and procurement lead immediately via Slack and email with a pre-populated reorder recommendation. Non-critical alerts go to the daily exception report delivered each morning with all action-required items ranked by urgency. Location-level monitoring for multi-warehouse operations: alerts include which warehouse is low while other warehouses may have surplus, enabling inter-warehouse transfer as an alternative to a supplier reorder.

Three-way matching automation compares purchase orders, goods receipt notes, and supplier invoices in real time, clearing matched invoices for payment automatically and flagging discrepancies with the variance pre-calculated and source documents attached. Invoice ingestion: invoices received by email are extracted using AI-based OCR (Azure Document Intelligence or AWS Textract) that identifies PO number, supplier, line items, quantities, unit prices, and total; invoices received via EDI X12 810 or EDIFACT INVOIC are parsed directly. Match criteria: PO number match (extracted from invoice vs ERP PO record); line item quantity match within configurable tolerance (typically 1% for weight-based goods, exact match for discrete unit goods); unit price match against the agreed price on the PO; and total invoice amount reconciliation. Matching outcomes: full match within tolerance, invoice cleared and approved for payment; quantity variance, discrepancy pre-calculated per line item, routed to the warehouse or procurement team; price variance, invoiced price vs PO price shown side by side, routed to procurement for supplier query; missing GRN, invoice received for goods not yet receipted, held in a pending queue. Audit trail per invoice: every matching decision, tolerance applied, and approver action is recorded for accounts payable audit purposes and supplier dispute resolution.

Supplier performance scorecards built on data that already exists in your ERP, WMS, and quality systems, consolidated automatically at period close rather than requiring a procurement analyst to pull data from four systems and assemble a spreadsheet. Metrics calculated per supplier per period: on-time delivery rate (PO line items delivered by promised date / total line items, with a configurable grace window of 1-3 days); on-time in-full (OTIF) rate; quality rejection rate (units rejected at goods receipt inspection / total units received); invoice accuracy rate (invoices matched first-pass vs total invoices); lead time accuracy (actual lead time vs stated lead time on PO acknowledgement); and price compliance rate (invoiced price vs contracted price). Scorecard calculation runs automatically at month end or can be triggered on demand. Each supplier's procurement contact receives their performance summary via email; the procurement team receives a ranked scorecard across all suppliers with performance trend indicators and an exception flag for suppliers below configurable thresholds on any metric. Performance data is used to populate supplier review meeting agendas automatically, the system generates a meeting pack with the supplier's scorecard, trend analysis, open claims or disputes, and outstanding POs for the procurement team's quarterly review.